Publications
Peer-reviewed articles from the NERVE Lab.
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Understanding adverse childhood experiences within the first decade of the ABCD study: A systematic review
de Arellano A, Tucker A, de Arellano A, Rother Y, Mann C, Butler L, et al.
Developmental Cognitive Neuroscience, 2026
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Prenatal Substance Exposure and Birth Weight: Findings From the HEALthy Brain and Child Development Study
Bandoli G, Psaras C, Bakhireva L, Burris H, Ciciolla L, Coles C, et al.
Pediatrics, 2026
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Attention problems and cortical maturation in a large longitudinal sample of youths: The importance of accounting for sex differences
O'Connor S, Loughnan R, Ahern J, Fan C, Althoff R, Garavan H, et al.
Proceedings of the National Academy of Sciences, 2026
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Cognitive Process Models Reveal Meaningful Brain–Behavior Associations in the Adolescent Brain Cognitive Development Study Stop-signal Task
Barrows A, Weigard A, McCabe M, Potter A, Garavan H, Allgaier N
Journal of Cognitive Neuroscience, 2026
0 citations
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Connectome-based predictive modeling of concurrent and longitudinal substance use vulnerability in adolescence
Guassi Moreira J, Allgaier N, Johnson M, Potter A, Garavan H, Fair D
Developmental Cognitive Neuroscience, 2026
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Investigating links between prenatal cannabis exposure and brain development using MRI techniques: a narrative review
Gonçalves P, Woodruff J, Pozzolo Pedro M, Van Dijk M, Bruzelius E, Martins S, et al.
Biological Psychiatry: Global Open Science, 2026
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Impulsivity and neuroticism share distinct functional connectivity signatures with alcohol-use risk in youth
Cheng A, Lichenstein S, Chaarani B, Liang Q, Babaeianjelodar M, Riley S, et al.
Molecular Psychiatry, 2025
2 citations
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Smoking reduction trajectories and their association with smoking cessation: a secondary analysis of longitudinal clinical trial data
Barrows A, Klemperer E, Garavan H, Allgaier N, Lindson N, Taylor G
BMJ Public Health, 2025
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Impulsivity behaviors and white matter mediate the relationship between genetic risk for cannabis use disorder and early cannabis use in adolescents
Cupertino R, Medland S, Ottino-Gonzalez J, Cao Z, Juliano A, Pancholi D, et al.
Addiction, 2025
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Task and resting state fMRI modelling of brain-behavior relationships in developmental cohorts
Uddin L, Garavan H
Biological Psychiatry, 2025
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Neuroanatomical Variability and Substance Use Initiation in Late Childhood and Early Adolescence
Miller A, Baranger D, Paul S, Garavan H, Mackey S, Tapert S, et al.
JAMA Network Open, 2024
37 citations -
Associations Between Family History of Alcohol and/or Substance Use Problems and Frontal Cortical Development From 9 to 13 Years of Age: A Longitudinal Analysis of the ABCD Study
Gonçalves P, Martins S, Gebru N, Ryan-Pettes S, Allgaier N, Potter A, et al.
Biological Psychiatry Global Open Science, 2024
12 citations -
Parameter Space and Potential for Biomarker Development in 25 Years of fMRI Drug Cue Reactivity: A Systematic Review
Sangchooli A, Zare-Bidoky M, Fathi Jouzdani A, Schacht J, Bjork J, Claus E, et al.
JAMA Psychiatry, 2024
30 citations -
Unraveling the molecular relevance of brain phenotypes: A comparative analysis of null models and test statistics
Cao Z, Zhan G, Qin J, Cupertino R, Ottino-Gonzalez J, Murphy A, et al.
NeuroImage, 2024
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Brain structural covariance network features are robust markers of early heavy alcohol use
Ottino-González J, Cupertino R, Cao Z, Hahn S, Pancholi D, Albaugh M, et al.
Addiction, 2024
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Amygdala connectivity is associated with withdrawn/depressed behavior in a large sample of children from the Adolescent Brain Cognitive Development (ABCD) Study®
Thomas E, Juliano A, Owens M, Cupertino R, Mackey S, Hermosillo R, et al.
Psychiatry Research: Neuroimaging, 2024
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High-Fidelity Image Generation with Latent Diffusion Models
Chen E, Wang D, Brown M
NeurIPS 2024, 2024
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Recalibrating single-study effect sizes using hierarchical Bayesian models
Cao Z, McCabe M, Callas P, Cupertino R, Ottino-González J, Murphy A, et al.
Frontiers in Neuroimaging, 2023
6 citations -
Effects of parental mental health and family environment on impulsivity in preadolescents: a longitudinal ABCD study®
Gebru N, Goncalves P, Cruz R, Thompson W, Allegair N, Potter A, et al.
Frontiers in Behavioral Neuroscience, 2023
9 citations -
Differential associations of adolescent versus young adult cannabis initiation with longitudinal brain change and behavior
Albaugh M, Owens M, Juliano A, Ottino-Gonzalez J, Cupertino R, Cao Z, et al.
Molecular Psychiatry, 2023
19 citations -
Gender diversity associated with patterns of brain activation seen in populations that experience childhood stress
Loso H, Chaarani B, Dube S, Albaugh M, Cheaito A, Garavan H, et al.
Frontiers in Integrative Neuroscience, 2023
3 citations -
Conduct problems are associated with accelerated thinning of emotion-related cortical regions in a community-based sample of adolescents
Albaugh M, Hudziak J, Spechler P, Chaarani B, Lepage C, Jeon S, et al.
Psychiatry Research: Neuroimaging, 2023
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Associations Between Gender Nonconformity, School Environments, Family Conflict, and Emotional and Behavioral Health Among Children Ages 10–11
Loso H, Dube S, Chaarani B, Ivanova M, Garavan H, Johns M, et al.
Journal of Adolescent Health, 2023
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Machine learning approaches linking brain function to behavior in the ABCD STOP task
Yuan D, Hahn S, Allgaier N, Owens M, Chaarani B, Potter A, et al.
Human Brain Mapping, 2023
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Task fMRI paradigms may capture more behaviorally relevant information than resting-state functional connectivity
Zhao W, Makowski C, Hagler D, Garavan H, Thompson W, Greene D, et al.
NeuroImage, 2023
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One-Year Predictions of Delayed Reward Discounting in the Adolescent Brain Cognitive Development Study.
Owens M, Hahn S, Allgaier N, MacKillop J, Albaugh M, Yuan D, et al.
Experimental and Clinical Psychopharmacology, 2022
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Cortical profiles of numerous psychiatric disorders and normal development share a common pattern
Cao Z, Cupertino R, Ottino-Gonzalez J, Murphy A, Pancholi D, Juliano A, et al.
Molecular Psychiatry, 2022
12 citations -
The ABCD stop signal data: Response to Bissett et al.
Garavan H, Chaarani B, Hahn S, Allgaier N, Juliano A, Yuan D, et al.
Developmental Cognitive Neuroscience, 2022
22 citations -
Association of Video Gaming With Cognitive Performance Among Children
Chaarani B, Ortigara J, Yuan D, Loso H, Potter A, Garavan H
JAMA Network Open, 2022
91 citations -
Association Between Brain Structure and Alcohol Use Behaviors in Adults: A Mendelian Randomization and Multiomics Study
Mavromatis L, Rosoff D, Cupertino R, Garavan H, Mackey S, Lohoff F
JAMA Psychiatry, 2022
39 citations -
Bayesian causal network modeling suggests adolescent cannabis use accelerates prefrontal cortical thinning
Owens M, Albaugh M, Allgaier N, Yuan D, Robert G, Cupertino R, et al.
Translational Psychiatry, 2022
18 citations -
Performance scaling for structural MRI surface parcellations: a machine learning analysis in the ABCD Study
Hahn S, Owens M, Yuan D, Juliano A, Potter A, Garavan H, et al.
Cerebral Cortex, 2022
3 citations -
Prenatal cannabis exposure predicts attention problems, without changes on fMRI in adolescents
Cioffredi L, Anderson H, Loso H, East J, Nguyen P, Garavan H, et al.
Neurotoxicology and Teratology, 2022
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White matter microstructure differences in individuals with dependence on cocaine, methamphetamine, and nicotine: Findings from the ENIGMA-Addiction working group
Ottino-González J, Uhlmann A, Hahn S, Cao Z, Cupertino R, Schwab N, et al.
Drug and Alcohol Dependence, 2022
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Brain structural covariance network differences in adults with alcohol dependence and heavy-drinking adolescents
Ottino-González J, Garavan H, ENIGMA-Addiction T, consortiums I
Addiction, 2022
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Association of Cannabis Use During Adolescence With Neurodevelopment
Albaugh M, Ottino-Gonzalez J, Sidwell A, Lepage C, Juliano A, Owens M, et al.
JAMA Psychiatry, 2021
133 citations -
Characterizing reward system neural trajectories from adolescence to young adulthood
Cao Z, Ottino-Gonzalez J, Cupertino R, Juliano A, Chaarani B, Banaschewski T, et al.
Developmental Cognitive Neuroscience, 2021
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin J, Chang M, Lee K, Toutanova K
NAACL-HLT, 2019
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Attention is all you need
Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, Gomez A, et al.
Advances in neural information processing systems, 2017
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Deep residual learning for image recognition
He K, Zhang X, Ren S, Sun J
Proceedings of the IEEE conference on computer vision and pattern recognition, 2016
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Generative Adversarial Nets
Goodfellow I, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S, et al.
NIPS, 2014
